Reddit Asked How to Build a Binance Bot — So We Showed Ours (Sort Of)

A user on Reddit reached out and asked something we wish more people asked:
"Hi, nice to meet you, I would like to know in which languages ​​to write crypto trading algorithms on binance?"

A normal question. No hype. No flexing.
Just a builder mindset.

So we decided to answer — but not with a “use Python bro” reply.
We cracked open the hood of what we built here at PremiumCoinSignals.com.
And yes, we’ve redacted the exploitable bits.

Let’s go.

Context Before Code

What you’re about to see is how a real system processes thousands of signals, handles trade routing, manages delays, filters garbage, and protects itself.

What you won’t see is anything that:

• Lets you reverse-engineer our trade logic
• Gives access to sensitive paths or payloads
• Explains the real timing of executions

We’re open — not stupid.

Tech Stack Basics

We use:

Language:         Python (core logic), JavaScript (frontend), Bash (cron+infra)
Infrastructure:   Railway (jobs, queue, scheduling), GitHub (sync + CI/CD)
Front:            Next.js + Tailwind + MDX
Comm:             Telegram Bot API + Webhooks
Data:             PostgreSQL + Local JSON caching (fallback)
Execution:        Binance API, HMAC-signed REST calls

Why Python? Because it has all the libs we need for:

• Parsing incoming junk
• Regexing malformed messages
• Validating assets and TP/SL syntax
• Querying markets
• Sending orders

Full Signal Lifecycle

Every trade alert starts as raw noise. Here's what happens:

Step 1: Signal Ingestion
   → Parsed from Telegram / JSON
   → Validated for schema, format, TP/SL fields
   → Extracts Trade ID + pair

Step 2: Pre-Filter Enrichment
   → Current market data attached
   → Checks for volatility / structure
   → Filters symbols, ignores garbage pairs

Step 3: System Filtering
   → Risk-to-reward calculation (we only want ≥ 2.0)
   → Volume check
   → Tag matching (e.g. exclude NFTs or dog coins)

Step 4: Queueing
   → Sent to async queue (FIFO)
   → Retry logic applied (limit capped — values abstracted)
   → Errors logged, soft retries only once

Step 5: Output Channels
   → Logged in database
   → Posted to Telegram
   → Displayed on the frontend (with intentional delay)
   → Sent to execution engine (manual override or auto push)

All this happens in seconds — but you’ll see it on-site with a delay, always by design.

Things You Won’t See

We’ve deliberately removed/abstracted the following:

• Retry limit values (we used to show them — now hidden)
• Internal function names that used to expose structure
• API call order + endpoint sequences
• IP/auth/cron details
• Exact filtering logic (e.g. RR boundaries, rejection levels)

Why? Because our transparency doesn’t come at the cost of our edge.

Frontend Data Flow (Public)

Here’s what happens once a signal makes it to the frontend:

→ DB updates every ~2 hours via scheduled cron (Railway)
→ Public page receives fresh feed of:
   • Trade pair
   • Entry, TP, SL
   • Calculated RR
   • Risk/TP total potential
   • PnL visual tracker
→ “Open trades” visible — delayed, never real-time
→ Page load triggers caching to avoid server load

The frontend is not cosmetic — it’s built to display real data, just not in a way that you can steal it.

What You Can Actually See

We built the frontend around brutal honesty, but with a safety net:

• Actual TP and SL levels per trade
• Win rate and average RR
• 7-day trade summaries with timestamp
• TP potential and SL risk for current positions
• Signals marked as closed/win/loss
• Raw Data Page (for validation, not cloning)

This isn’t a fake sheet with checkmarks and 99% win rates. We win, we lose — you see it all.

Why the 2-Hour Delay?

We get this a lot.

“If it’s really transparent, why isn’t it real-time?”

Simple:

• Real-time = copycats
• Copycats = exposure
• Exposure = dead edge

So instead:

• Data updates every 2 hours
• Executions happen separately
• Clients get signals in sync
• Public gets verified history, not a live feed

It’s enough to validate us — not enough to replicate us.

Protection Layers (Already Hardened)

Yes — we’ve already applied best practices:

• Obfuscated retry thresholds (you don’t see “retry_count = 3” anywhere)
• Sensitive logic renamed (no more isShitCoin() functions)
• Blacklist and whitelist system refactored into pattern-matching engines
• Queue system capped to prevent overload
• Auth tokens and endpoints rotated regularly
• IP logs tracked (with alerts if foreign IPs attempt signal hijack)

This is a system built after getting burned. We hardened it — and we keep hardening it every week.

Bot Logic: Beyond Just Alerts

Our backend bot doesn’t just forward signals. It:

• Validates slippage on execution
• Matches leverage settings to symbol risk profiles
• Adds token-based enrichment (volatility bands, news risk tags)
• Sends alerts to admin when edge parameters are violated
• Forwards alerts to dev ops when retry failure occurs
• Dynamically skips trade if liquidity drops below set threshold

No single trade ever goes from input to execution without inspection.

For the Reddit Builder

If you're the person who asked what language to use: You’re already ahead of 99% of this market.

Most “signal providers” are just guys editing Canva templates and shilling AI indicators. You’re asking how to build.

Start with Python. Learn the Binance API. Then come back and rebuild what we’ve done — but better. The world needs more honest systems.

Built with Spite. Maintained with Coffee.

This isn’t a startup with a pitch deck. It’s a revenge system, built by traders who were sick of:

• Scams
• Fake backtests
• “VIP access” funnels
• Copy/paste trading groups with no audit trail

So we built a system to punch back.

It runs. It works. It fails — sometimes. And it shows you everything, even when it does.

Transparency ≠ Suicide

Let’s be clear.

Transparency means you see the outcome and structure. It doesn’t mean we hand you the blueprint to steal or spoof.

You get the receipts, not the wiring diagram. You get the live stats, not the live signals. You get the wins and the losses — because that’s trading.

TL;DR

• Signal comes in → Validated → Enriched → Queued
• Then → Sent to Telegram, Website, DB, and Execution Engine
• Public sees it on a 2h delay
• Retry logic, queue limits, and logic names = obfuscated
• Site shows real stats, not curated BS
• System hardens weekly
• We don’t sell dreams — we post data

You asked. We answered. Don’t just follow signals. Learn how they’re made.